Evidence map›Paper›PMID 39991047›Full record

ArticleProceedings of SPIE--the International Society for Optical Engineering2018

Development of a Next Generation Tomosynthesis System.

Jeffrey E Eben, Trevor L Vent, Chloe J Choi, Sushmitha Yarrabothula, Lucy Chai, Margaret Nolan, Elizabeth Kobe, Raymond J Acciavatti, Andrew D A Maidment

Abstract read
In one paragraph

Article in Proceedings of SPIE--the International Society for Optical Engineering, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed.

  1. Article
  2. Article
  3. Exploring advanced 2D acquisitions in breast tomosynthesis: T-shaped and Pentagon geometries.Proceedings of SPIE--the International Society for Optical Engineering · 2024
    Article
  4. Article
  5. Spatial dependency of multiplanar reconstruction in digital breast tomosynthesis.Proceedings of SPIE--the International Society for Optical Engineering · 2023
    Article
  6. Spatial dependency of lesion detectability in digital breast tomosynthesis.Proceedings of SPIE--the International Society for Optical Engineering · 2022
    Article
  7. Signal-to-Noise Ratio and Contrast-to-Noise Ratio Measurements for Next Generation Tomosynthesis.Proceedings of SPIE--the International Society for Optical Engineering · 2021
    Article
  8. Analysis of Digital Breast Tomosynthesis Acquisition Geometries in Sampling Fourier space.Proceedings of SPIE--the International Society for Optical Engineering · 2021
    Article
  9. Development of Magnification Tomosynthesis for Superior Resolution in Diagnostic Mammography.Proceedings of SPIE--the International Society for Optical Engineering · 2021
    Article
  10. Article
  11. Article
  12. Article
  13. Proposing Rapid Source Pulsing for Improved Super-Resolution in Digital Breast Tomosynthesis.Proceedings of SPIE--the International Society for Optical Engineering · 2020
    Article
  14. Article
  15. Article
  16. Personalization of X-Ray Tube Motion in Digital Breast Tomosynthesis Using Virtual Defrise Phantoms.Proceedings of SPIE--the International Society for Optical Engineering · 2019
    Article
  17. Geometric Calibration for a Next-Generation Digital Breast Tomosynthesis system Using Virtual Line Segments.Proceedings of SPIE--the International Society for Optical Engineering · 2018
    Article
  18. Pre-clinical evaluation and optimization of image quality for a Next Generation Tomosynthesis prototype.Proceedings of SPIE--the International Society for Optical Engineering
    Article
  19. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Jeffrey E EbenUniversity of Pennsylvania, Department of Radiology, 3400 Spruce Street, Philadelphia, PA 19104.
Trevor L VentUniversity of Pennsylvania, Department of Radiology, 3400 Spruce Street, Philadelphia, PA 19104.
Chloe J ChoiUniversity of Pennsylvania, Department of Radiology, 3400 Spruce Street, Philadelphia, PA 19104.
Sushmitha YarrabothulaUniversity of Pennsylvania, Department of Radiology, 3400 Spruce Street, Philadelphia, PA 19104.
Lucy ChaiUniversity of Pennsylvania, Department of Radiology, 3400 Spruce Street, Philadelphia, PA 19104.
Margaret NolanUniversity of Pennsylvania, Department of Radiology, 3400 Spruce Street, Philadelphia, PA 19104.
Elizabeth KobeUniversity of Pennsylvania, Department of Radiology, 3400 Spruce Street, Philadelphia, PA 19104.
Raymond J AcciavattiUniversity of Pennsylvania, Department of Radiology, 3400 Spruce Street, Philadelphia, PA 19104.
Andrew D A MaidmentUniversity of Pennsylvania, Department of Radiology, 3400 Spruce Street, Philadelphia, PA 19104.

Funding

High Performance, Quantitative Breast PET Scanner Integrated With TomosynthesisR01CA196528 · NCI · UNIVERSITY OF PENNSYLVANIA · PI ANDREW DOUGLAS ARNOLD MAIDMENT, Suleman Surti · 2016 to 2026
$5.9M
SUMMER UNDERGRADUATE PROGRAM TO EDUCATE RADIATION SCIENTISTS (SUPERS)R25CA140116 · NCI · UNIVERSITY OF PENNSYLVANIA · PI JAY FITZGERALD DORSEY · 2010 to 2026
$4.1M
NCI NIH HHS R01 CA196528NCI NIH HHS R25 CA140116
6 · The paper itself

Abstract

A next generation tomosynthesis (NGT) system has been proposed to obtain higher spatial resolution than traditional digital breast tomosynthesis (DBT) by achieving consistent sub-pixel resolution. Resolution and linear acquisition artifacts can be further improved by creating multi-axis, x-ray tube acquisition paths. This requires synchronization of the x-ray generator, x-ray detector, and motion controller for an x-ray tube motion path composed of arbitrarily spaced x-ray projection points. We have implemented a state machine run on an Arduino microcontroller that synchronizes the system processes through hardware interrupts. The desired x-ray projection points are converted into two-dimensional motion segments that are compiled to the motion controller's memory. The state machine then signals the x-ray tube to move from one acquisition point to another, exposing x-rays at each point, until every acquisition is made. The effectiveness of this design was tested based on speed of procedure and image quality metrics. The results show that the average procedure time, over 15 test runs for three different paths, took under 20 seconds, which is far superior to previous acquisition methods on the NGT system. In conclusion, this study shows that a state machine implementation is viable for fast and accurate acquisitioning in NGT systems.

Indexed as

automationDefrise phantomdigital breast tomosynthesis (DBT)mammographystate machinesuper-resolutionx-ray imaging

Identifiers

PMID39991047
PMCPMC11845273

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.